Title 1: Aerial Supervision of Drones and Other Flying Objects Using Convolutional Neural Networks
Target: ICAIIC 2022 Conference (Accepted)
Title 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato
Diseases.
Target: IEEE Intelligent Systems (Under Review)
Title 3: Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious
Approach
Target: MILCOM 2022 (Accepted)
Title 4: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification
Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems
Title 5: Scalable Out-of-Core Learning Model for Intrusion Detection System on the Internet of Drones
Target: KICS Summer 2022 (Accepted)
Title 6: Scale Variant Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: IET Computer Vision (Rejected)
Title 7: Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest
Algorithm
Target: ICTC 2022 (Accepted)
Title 8: Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone
Network (Summer Intensive)
Target: IEEE Internet of Things (Under review)
Title 9: RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication
Networks
Target: Journal of Communications and Networks (Submitted)
Title 10: Mobility-Compliant Model in Drone-Based Sniffing Technique for Aerial Surveillance and Security
Target: KICS Fall 2022
Title 11: Intelligent Intrusion Detection Framework for Edge-Based UAV Network using
Optimized Filter Random Forest Algorithm (Tentative)
Target: IoT Elseiver
Title 2: Under review
Title 3: Submitted the paper to senior colleagues for scrutiny
Title 6: Worked on reviewers’ comments for paper enhancement
Title 7: Complete presentation slides
Title 8: Under review
Title 9: Awaiting assignment
Title 10: Complete and submit paper
Title 11: Study the scope of the journal and revise the paper for compliance
Title 2: Under review
Title 3: Start working on presentation slides
Title 6: Submit the paper to senior colleagues for scrutiny
Title 7: Revise presentation slides and prepare for the conference
Title 8: Under review
Title 9: Awaiting assignment
Title 10: Run plagiarism and grammar check before final submission
Title 11: Revise paper based on the journal’s scope
Anti-Drone System (Phase II)
i Continued studying radar and sniffing technologies for drone detections.
ii. Designed a deep neural model for an artificial nose based on sniffing technique
iii. Continue learning R programming for big data analysis. Continue studying radar and sniffing
technologies for drone detections.
iv. Gathered dataset for simulation experiment
i. Optimize model for an improved sensitivity, accuracy and computational cost .
ii. Investigate different hyperparameter techniques to achieve a robust electronic nose
iii. Continue learning R programming for big data analysis
i. Effect changes and improve Title 6 for resubmission (80%)
ii. Submit a paper for KICS Fall (90%)
iii. Acquire in-depth knowledge of the various ML and DL algorithms (85% progress)
iv. Become proficient in the use of OpenCV for object detection and tracking in real-time (paused)
v. Begin and excel on the journey to R programming (20%)
vi. Resubmit Title 11 for possible publication
i. Submission of at least 3 journals (100%)
ii. Submit and get acceptance for 2 international conferences (100%)
ii. Design a hybrid model for optimal drone detection
(Completed vision technique, test-running artificial nose for sniffing technique (15%))
iii. Become an AI expert in both ML and DL techniques (still progressing)